Abstract:
An image processing apparatus comprises: an image forming unit configured to form an image on a recording medium using a plurality of color materials on the basis of first image data showing an image; and an estimating unit configured to estimate a characteristic of each one of the plurality of color materials in a target region on the formed image on the basis of second image data obtained by reading the formed image. The estimating unit selects an estimation processing unit to use from among a plurality of estimation processing units used for different estimation methods on the basis of a combination of the color materials in the target region.
Abstract:
Methods, apparatuses, systems, and storage mediums for correcting distortion of a spectrally encoded endoscopy (SEE) image are provided. A first reference pattern comprising a plurality of radial lines is scanned with an SEE spectral line to obtain a first image. Signs of a tangential shift and/or of a radial shift of the spectral line may be determined, and magnitudes of the tangential shift and of the radial shift may be computed. A second reference pattern comprising at least a circle with the SEE spectral line may be scanned to obtain a second image in a case where the radial shift is positive. The magnitude of the radial shift may be computed based on the magnitude of the tangential shift and a radius of the circle. The tangential shift and the radial shift may then be applied for correcting distortion.
Abstract:
The present disclosure relates to a method and related system for spectrum optimization of an illumination light source. Spectrum optimization according to the present disclosure can be based on various optimization parameters, including but not limited to luminous efficacy, color rendering effect, luminous efficacy of radiation, mesopic efficacy of radiation, cirtopic efficacy of radiation, etc. The present method and system are capable of optimizing illumination performance of a light source in various aspects in an individual or integrated manner. Further, the present method and system are capable of accommodating different illumination purposes and conditions by combining and prioritizing different optimization parameters.
Abstract:
A color measurement device includes a light source for illuminating an object with light; a dispersing portion for spectrally dispersing light emitted and reflected by the object; a light receptor for receiving the light dispersed by the dispersing portion; and a controller for effecting color measurement based on a result of light reception of the light receptor from the object which is an image formed on a recording material; wherein the emitted light has a first intensity of light in a first wavelength range and a second intensity lower than the first intensity in a second wavelength range, and wherein the controller deduces a value relating to color measurement for the second wavelength range on the basis of a result of light reception of the light receptor for the first wavelength range.
Abstract:
A system and method of characterizing a color variation of a surface includes a device having a light source and a plurality of sensors positioned at respective viewing angles. An algorithm is stored on and executable by a controller to cause the controller to direct a beam of light at the measurement location with the light source and measure the light leaving the measurement location with the sensors at a plurality of azimuth angles to obtain respective measured color values. The controller is configured to define a color vector function F(θ, φ) to represent the color variation of the surface. The controller is configured to determine the color vector function F(θ, φ) based at least partially on the respective measured color values. The system allows for a representation of color space of a surface at any azimuth and viewing angle.